Embedded Files
Our platform accomodates all aspects of ML lifecycle management supporting aspects such as human-in-the-loop and data quality.
Upload > Instruct -> Export
Upload > Instruct -> Export
Simple
Simple
With access via our CLI and our no-code platform, you can generate a dataset within minutes. From uploading samples, creating a reactor, and exporting a dataset.
Just tell it what you want!
Just tell it what you want!
Align your reactor with your vision and usecase goals and it will adapt and produce datasets accordingly.
Review & Export
Review & Export
With human-in-the-loop princples, you can ensure that only high quality data gets through your vision reactors and possibly correct any mistakes.
Vision Reactors at Play
Vision Reactors at Play
Rapid fission of your data into Vision Models
Rapid fission of your data into Vision Models
Powered by state-of-the-art models
Powered by state-of-the-art models
What is a Vision Reactor?
What is a Vision Reactor?
The most important unit of our platform is the reactor. Just like with normal fission reactors, you need to feed in samples to produce a specific product, in this case vision models.
Goal oriented & Playground
Goal oriented & Playground
Talk to your reactor in terms of goals and not annotations in a highly more intuitive form. You can use our playground to ensure alignment.
Stage Management
Stage Management
Optionally Review the results of your fission and rapidly select the optimal samples.
Dataset Export
Dataset Export
Export your fission samples into common dataset formats for training detection models such as YOLO.
Obtain Early Access
Obtain Early Access
Are you a Developer who like Computer Vision? We are making our first release of FissionBox as a Beta version. You can apply to our Developer Beta Programme to get early access to help us improve our platform.
Request a Demo
Request a Demo
Let us explore how FissionBox can revolutionaise your data operations
Let us explore how FissionBox can revolutionaise your data operations
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